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Marine Schimel

@marineschimel.bsky.social

93 followers 85 following 7 posts

Postdoctoral researcher in Computational Neuroscience @Stanford

Posts Replies Media

Reposted by Marine Schimel

Auguste Schulz @auschulz.bsky.social · 03/02/2025

1) Some exciting science in turbulent times: How do mice distinguish self-generated vs. object-generated looming stimuli? Our new study combines VR and neural recordings from superior colliculus (SC) 🧠🐭 to explore this question. Check out our preprint doi.org/10.1101/2024... 🧵

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Marine Schimel @marineschimel.bsky.social · 31/01/2025

This work was a super fun collaboration with Mitra, advised by Guillaume Hennequin, Yashar Ahmadian, and Sonja Hofer! Thanks a lot to all of them, and to everyone else who gave us feedback! [7/7]

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Marine Schimel @marineschimel.bsky.social · 31/01/2025

This mechanism, which we call dynamic consensus building, leads to a gradual reconciliation of computations across areas, and could provide a general foundation for understanding multi-area computations in the cortex. [6/7]

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Marine Schimel @marineschimel.bsky.social · 31/01/2025

We developed a theoretical framework explaining how inter-area connections give rise to approximate attractor dynamics. The key insight was that reciprocal excitatory connections slow decay for congruent stimulus patterns, while accelerating it for inconsistent ones! [5/7]

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Marine Schimel @marineschimel.bsky.social · 31/01/2025

Surprisingly, approximate line attractor dynamics consistently emerged in the models we fit. These dynamics allowed to sustain cortical activity even though inputs were transient, and were mediated by long-range excitatory connections. [4/7]

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Marine Schimel @marineschimel.bsky.social · 31/01/2025

We fit latent input-driven dynamical system models to sets of neural recordings + optogenetic perturbations. These models were constrained by known circuit motifs, such as excitatory-only long-range projections. This ensured they remained biologically interpretable and testable. [3/7]

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Marine Schimel @marineschimel.bsky.social · 31/01/2025

The cortex is highly modular, with distinct areas processing information locally. Yet, it operates as a coordinated whole. How are these modules integrated? To address this, we studied information processing between two visual cortical areas. [2/7]

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Marine Schimel @marineschimel.bsky.social · 31/01/2025

For my first Bluesky post, I'm very excited to share a thread on our recent work with Mitra Javadzadeh, investigating how connections between cortical areas shape computations in the neocortex! [1/7] www.biorxiv.org/content/10.1...

biorxiv.org

Dynamic consensus-building between neocortical areas via long-range connections

The neocortex is organized into functionally specialized areas. While the functions and underlying neural circuitry of individual neocortical areas are well studied, it is unclear how these regions op...

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